自动化与信息工程2025，Vol.46Issue(2)：38-47,10.DOI:10.12475/aie.20250206
改进麻雀搜索算法的远程健康线下服务任务调度方法
Remote Health Service Task Scheduling Method Based on Improved Sparrow Search Algorithm
摘要
Abstract
To address the issues of the sparrow search algorithm(SSA)in solving path planning for remote health offline service task scheduling,such as slow convergence speed,insufficient global search capability,and susceptibility to local optima,an improved sparrow search algorithm for remote health offline service task scheduling is proposed.First,a discoverer update mechanism based on a fusion transition probability sine-cosine strategy is introduced to enhance the global search capability of discoverer individuals.Then,a follower update mechanism incorporating dynamic adaptive weights and hybrid particle swarm optimization is implemented to strengthen information exchange within the population and avoid the algorithm falling into local optima.Finally,a population diversity enrichment mechanism is introduced to expand the algorithm's search range and improve its ability to escape local optima.Experi-mental results demonstrate that the improved sparrow search algorithm achieves lower service costs and higher service efficiency compared to the original sparrow search algorithm and multi-objective genetic algorithms in addressing path planning for remote health offline service task scheduling.关键词
改进麻雀搜索算法/远程健康线下服务/任务调度/路径规划/正余弦策略/粒子群优化Key words
improved sparrow search algorithm/remote health offline service/task scheduling/path planning/sine-cosine strategy/particle swarm optimization分类
计算机与自动化引用本文复制引用
黄嘉铖,蔡延光,胡城,曾庆丰..改进麻雀搜索算法的远程健康线下服务任务调度方法[J].自动化与信息工程,2025,46(2):38-47,10.基金项目
广东省科技计划项目(2016A050502060,2020B1010010005) （2016A050502060,2020B1010010005）
广州市科技计划项目(202206010011,2023B03J1339). （202206010011,2023B03J1339）
